1.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum      0.999       1.00
## LDevsum      1.004       1.02
## dh0          1.086       1.34
## dh1          1.051       1.22
## dh2          1.000       1.00
## dl0          1.070       1.28
## dl1          1.020       1.10
## dl2          1.015       1.07
## dl3          1.001       1.01
## 
## Multivariate psrf
## 
## 1.07

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.00
## dh0           1.22       1.81
## dh1           1.30       2.24
## dh2           1.06       1.23
## 
## Multivariate psrf
## 
## 1.13

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results

3.1 Trace plots for convergence check

The current MCMC setting is:

• 4000000 iteration;
  
• 3000000 burn-in;
  
• 1000 thinning.

3.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## LDevsum       1.01       1.02
## dl0           1.07       1.07
## dl1           1.03       1.09
## dl2           1.14       1.41
## dl3           1.00       1.01
## 
## Multivariate psrf
## 
## 1.1

3.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

3.4 WAIC results